Results 41 to 50 of about 21,137 (219)
Physical Review Research, 2021 Time-periodic driving fields could endow a system with peculiar topological and transport features. In this work, we find dynamically controlled localization transitions and mobility edges in non-Hermitian quasicrystals via shaking the lattice ...
Longwen Zhou
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Stability of Quasicrystals Composed of Soft Isotropic Particles
, 2011 Quasicrystals whose building blocks are of mesoscopic rather than atomic scale have recently been discovered in several soft-matter systems. Contrary to metallurgic quasicrystals whose source of stability remains a question of great debate to this day ...
C. Xiao +9 more
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Advanced Science, EarlyView.A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang +6 more
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Journal of Materials Research and Technology, 2019 Icosahedral Al65Cu23Fe12 and decagonal Al73Cu11Cr16 quasicrystalline powders were synthesized by the mechanical alloying and subsequent annealing. Morphology evolution at mechanical alloying of Al-based powders was found to be determined by competition ...
Victor V. Tcherdyntsev +4 more
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Generalized dynamics of moving dislocations in quasicrystals
, 2010 A theoretical framework for dislocation dynamics in quasicrystals is provided according to the continuum theory of dislocations. Firstly, we present the fundamental theory for moving dislocations in quasicrystals giving the dislocation density tensors ...
Agiasofitou, Eleni +2 more
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Automatic Determination of Quasicrystalline Patterns from Microscopy Images
Advanced Intelligent Discovery, EarlyView.This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
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Quasicrystals - Discovery, Structure and Properties [PDF]
Kemija u Industriji, 2012 Quasicrystals are solid materials the structures of which can have crystallographically forbidden symmetries, e.g. of the fifth order, and do not have the translational invariance charactistic for classical crystals.
Stilinović, V., Brückler, F. M.
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Self-assembly of two-dimensional binary quasicrystals: A possible route to a DNA quasicrystal
, 2016 We use Monte Carlo simulations and free-energy techniques to show that binary solutions of penta- and hexavalent two-dimensional patchy particles can form thermodynamically stable quasicrystals even at very narrow patch widths, provided their patch ...
Doye, Jonathan P. K. +3 more
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Macromolecular Materials and Engineering, EarlyView.Due to the different conformation structures of the grafting chains on the surface of silica, the nanoparticles contact each other by brush chains and bridge into a polymer‐mediated nanoparticle network in HDPE14K/HDPE1K‐g‐SiO2 PNCs, resulting in a more significant modulus reinforcement than that of PP370K/PP90K‐g‐SiO2 PNCs with a soft interfacial ...
Ye Yao +4 more
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Crystals, 2016 A rigorous method for obtaining the diffraction patterns of quasicrystals is presented. Diffraction patterns are an essential analytical tool in the study of quasicrystals, since they can be used to determine their photonic resonances.
Farhad A. Namin, Douglas H. Werner
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